For the Closed Environment Identification model, we performed stratified 10-fold cross-validation as well as testing using 60-20-20 train-val-test split. Thus the data were divided and the CNN models were trained accordingly. We trained the models for 500 epochs, minimizing categorical crossentropy loss using Adam optimizer [1]}. Notably, except for the PTB dataset, convergence were reached before 150 epochs for all.
